Deep learning-based super-resolution and image transformation into structured illumination microscopy
2020
We demonstrate single-image super-resolution in fluorescence microscopy using a trained neural-network, matching the resolution of structured illumination microscopy (SIM). This performance is achieved without any parameter estimation or assumptions about the imaging system.
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